| Title |
Optimization of Double and Triple Glazing Combinations to Minimize Heating and Cooling Loads in Office and Residential Buildings across Korean Climate Zones |
| Authors |
이준영(Lee, Junyoung) ; 김동수(Kim, Dongsu) ; 이루다(Lee, Ruda) ; 윤종호(Yoon, Jongho) ; 임한솔(Lim, Hansol) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.9.319 |
| Keywords |
Optimization; Genetic algorithm; Cooling and heating load; Glazing |
| Abstract |
This study developed an optimization framework to identify optimal double- and triple-glazing combinations that minimize annual heating and
cooling loads in office and residential buildings across four Korean climate zones. Commercial glazing data from the LBNL International
Glazing Database (IGDB) were filtered and reduced to 17 representative glazing groups using K-means clustering. A genetic algorithm
coupled with Python and EnergyPlus (v22.2) was then applied to the DOE Medium Office model and a validated Korean apartment model to
optimize glazing configurations. For office buildings, low-SHGC double glazing with an air gap was consistently identified as the optimal
solution across all climate zones. Because cooling accounted for 89?99% of the total load, triple glazing increased total load by up to
3.32%. In residential buildings, where heating accounted for 56?75% of the total load, triple glazing with Krypton gas layers reduced total
load by 0.25?0.96%. The optimal SHGC also varied by region: lower SHGC was favorable in Jeju, whereas relatively higher SHGC was
advantageous in Busan, Daejeon, and Chuncheon. These results indicate that window design criteria based solely on U-value are insufficient
and should also reflect building type, climate zone, and SHGC. |